Regression analysis : a practical introduction
Author(s)
Bibliographic Information
Regression analysis : a practical introduction
Routledge, 2023
2nd ed
- : pbk
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
* Starts from the basics, focusing less on proofs and the high-level math underlying regressions, and adopts an engaging tone to provide a text which is entirely accessible to students who don't have a stats background
* New chapter on integrity and ethics in regression analysis
* Each chapter offers boxed examples, stories, exercises and clear summaries, all of which are designed to support student learning
* Optional appendix of statistical tools, providing a primer to readers who need it
* Code in R and Stata, and data sets and exercises in Stata and CSV, to allow students to practice running their own regressions
* Author-created videos on YouTube
* PPT lecture slides and test bank for instructors
Table of Contents
1. Introduction
2. Regression analysis basics
3. Essential tools for regression analysis
4. What does "holding other factors constant" mean?
5. Standard errors, hypothesis tests, p-values, and aliens
6. What could go wrong when estimating causal effects?
7. Strategies for other regression objectives
8. Methods to address biases
9. Other methods besides Ordinary Least Squares
10. Time-series models
11. Some really interesting research
12. How to conduct a research project
13. The ethics of regression analysis
14. Summarizing thoughts
Appendix of background statistical tools
by "Nielsen BookData"